A Deep Learning Approaches for Enhancing Clinical Solutions to Cardiovascular Prediction Using EHR by Mounika Valasapalli, Nallagatla Raghavendra Sai

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Prediction of the risk of 3-year chronic kidney disease among elderly people: a community-based cohort study by Tao Wang, Zhitong Zhou, Longbing Ren, Zhiping Shen, Jue Li, Lijuan Zhang

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CDR-Detector: a chronic disease risk prediction model combining pre-training with deep reinforcement learning by Shaofu Lin, Shiwei Zhou, Han Jiao, Mengzhen Wang, Haokang Yan, Peng Dou, Jianhui Chen

Subjects: “…Chronic risk prediction…”
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Identify the underlying true model from other models for clinical practice using model performance measures by Yan Li

Subjects: “…Clinical risk prediction model…”
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Research on Risk Prediction of Condiments Based on Gray Correlation Analysis – Deep Neural Networks by Miao Zhang, Yiran Wan, Haiyang He, Yuanjia Hu, Changhong Zhang, Jingyuan Nie, Yanlei Wu, Kaiying Deng, Xun Lei, Xianliang Huang

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Immune checkpoint inhibitors-related thyroid dysfunction: influencing factor analysis, prediction model development, and management strategy proposal by Xinya Li, Zaiwei Song, Yixuan Chen, Jingjing Wu, Dan Jiang, Zhen Zhang, Zeyuan Wang, Rongsheng Zhao

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Development and validation of machine learning models for MASLD: based on multiple potential screening indicators by Hao Chen, Jingjing Zhang, Xueqin Chen, Ling Luo, Wenjiao Dong, Yongjie Wang, Jiyu Zhou, Canjin Chen, Wenhao Wang, Wenbin Zhang, Zhiyi Zhang, Yongguang Cai, Danli Kong, Yuanlin Ding

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Fecal occult blood affects intestinal microbial community structure in colorectal cancer by Wu Guodong, Wu Yinhang, Wu Xinyue, Shen Hong, Chu Jian, Qu Zhanbo, Han Shuwen

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Risk Estimation of Severe Primary Graft Dysfunction in Heart Transplant Recipients Using a Smartphone by Souhila Ait-Tigrine, Roger Hullin, Elsa Hoti, Matthias Kirsch, Piergiorgio Tozzi

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Coronary Heart Disease Risk Prediction Model Based on Machine Learning by YUE Haitao, HE Chanchan, CHENG Yuyou, ZHANG Sencheng, WU You, MA Jing

Subjects: “…coronary disease|machine learning|risk prediction model|logistic regression|k-nearest neighbor|support vector machine|decision tree|xgboost…”
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Does the FNA sperm retrieval failure prediction model work well for current NOA individuals undertaking risk screening before the operation? Model validation, high-risk population... by Xiaohui Jiang, Dingming Li, Yi Zheng, Yinxian Li, Hengzhou Bai, Guicheng Zhao, Yi Zhang, Yue Ma

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